Data Engineer

Analytica; Washington (District of Columbia); Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer (MLOps) to join their innovative team. In this pivotal role, you will lead the design and implementation of cutting-edge data solutions for federal government projects. Your expertise in building data pipelines using AWS and Python will be essential as you work on both batch and streaming data sources. This is an exciting opportunity to contribute to enterprise data modernization efforts while working in a remote environment. If you are passionate about leveraging technology to drive impactful solutions, this role is perfect for you.

Qualifications

• 5+ years of experience in data pipeline creation and maintenance.
• Experience with AWS serverless components and Python.

Responsibilities

• Build data pipelines in AWS for data lakes and warehouses.
• Implement data cataloging and share metadata information.

Skills

Data Pipeline Development

AWS

Python

SQL

Infrastructure as Code (IaC)

AI/ML

NLP

Sentiment Analysis

Tools

AWS Glue

AWS Lambda

Amazon S3

AWS Secrets Manager

Amazon Textract

Amazon Comprehend

Job description

Join to apply for the Data Engineer role at Analytica

Analytica is seeking a remote Data Engineer (MLOps) to support one or more long-term federal government enterprise data programs. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.

Responsibilities include:

1. Building data pipelines in AWS for data lakes and data warehouses
2. Implementing data pipelines using tools like Amazon S3, AWS Glue, Amazon Textract, Amazon Comprehend, AWS Lambda, SQL, and Python scripts to connect existing data lakes and warehouses
3. Developing data pipelines for batch and streaming data sources from external feeds into cloud-based data lakes and warehouses
4. Implementing data cataloging to share metadata information
5. Utilizing AWS serverless components in data pipeline architecture
6. Using Infrastructure as Code (IaC) tools to deploy pipelines within AWS

Basic Qualifications:

• 5+ years of experience creating and maintaining data pipelines to clean, transform, and ingest data into databases, data warehouses, or data lakes
• Experience with AWS serverless components, AWS Glue, Python, and AWS Secrets Manager
• Experience with AI/ML, NLP, Sentiment Analysis, etc., with cloud providers is a plus
• AWS ML or Data Engineer Certification is preferred
• Must be a US Citizen and able to obtain and maintain a Public Trust security clearance

About Analytica: Analytica is a leading provider of IT solutions supporting health, civilian, and national security missions for the public sector. Recognized as one of the fastest-growing companies by Inc. Magazine, it offers competitive benefits and is certified at CMMI Maturity Level 3 and ISO 9001:2008.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job functions: Information Technology